PT  - JOURNAL ARTICLE
AU  - Luke Zappia
AU  - Belinda Phipson
AU  - Alicia Oshlack
TI  - Splatter: simulation of single-cell RNA sequencing data
AID  - 10.1101/133173
DP  - 2017 Jan 01
TA  - bioRxiv
PG  - 133173
4099  - http://biorxiv.org/content/early/2017/07/24/133173.short
4100  - http://biorxiv.org/content/early/2017/07/24/133173.full
AB  - As single-cell RNA sequencing technologies have rapidly developed, so have analysis methods. Many methods have been tested, developed and validated using simulated datasets. Unfortunately, current simulations are often poorly documented, their similarity to real data is not demonstrated, or reproducible code is not available.Here we present the Splatter Bioconductor package for simple, reproducible and well-documented simulation of single-cell RNA-seq data. Splatter provides an interface to multiple simulation methods including Splat, our own simulation, based on a gamma-Poisson distribution. Splat can simulate single populations of cells, populations with multiple cell types or differentiation paths.